Applied AI/ML Co-op Engineer: Build Production LLM Apps

Brain Co.; San Francisco (CA); On-site; USD 28,000 - 48,000; Full time

Benefits offered by this job

Competitive compensation

Mentorship

Production systems

Return-offer consideration

Daily lunches

Job summary

Brain Co. is building AI-native operating systems for regulated institutions and deploying AI across healthcare, government, and energy sectors.

As an AI/ML Engineer Co-op Intern, you’ll help design, build, and deploy ML systems that solve high-impact problems, mentored by experienced engineers and researchers. This undergraduate-focused internship offers hands-on experience with modern AI techniques—especially large language models—across real production challenges and customer-facing

Qualifications

• Current undergraduate student in CS/ML/DS.
• Experience programming in Python.
• Coursework or project experience in ML/AI.
• Exposure to LLMs and GenAI applications.
• Experience with PyTorch/JAX/TF.
• Strong fundamentals in data structures and algorithms.
• Curious, proactive, and eager to learn in a fast-paced environment.

Responsibilities

• Design and deploy LLM-powered applications to automate workflows.
• Build data pipelines and support model training/evaluation.
• Work with structured and unstructured data.
• Prepare models for production deployment and monitoring.
• Collaborate with senior engineers, AI researchers, and product teams.
• Learn via code reviews, design discussions, and mentorship.
• Gain exposure to public-sector customers.

Skills

Python

GenAI concepts

Algorithms

Problem solving

Education

Undergraduate student (juniors or seniors)

CS/ML/DS related field

Tools

PyTorch

JAX

TensorFlow

Job description

Brain Co. is building AI-native operating systems for regulated institutions and deploying AI across healthcare, government, and energy sectors.

As an AI/ML Engineer Co-op Intern, you’ll help design, build, and deploy ML systems that solve high-impact problems, mentored by experienced engineers and researchers. This undergraduate-focused internship offers hands-on experience with modern AI techniques—especially large language models—across real production challenges and customer-facing